Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A fmri Time-Frequency Domain Dynamic Network Construction Method Based on Hilbert-Huang Transform

A dynamic network and construction method technology, applied in the field of medical image processing, can solve the problem of inaccurate detail information capture, and achieve the effect of reducing the amount of calculation and simple wavelet transform

Active Publication Date: 2021-09-24
BEIJING UNIV OF TECH
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the coherent method based on wavelet transform can capture high-frequency and low-frequency information at the same time, it needs to select the basis function in advance, and the capture of detailed information is not accurate enough.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A fmri Time-Frequency Domain Dynamic Network Construction Method Based on Hilbert-Huang Transform
  • A fmri Time-Frequency Domain Dynamic Network Construction Method Based on Hilbert-Huang Transform
  • A fmri Time-Frequency Domain Dynamic Network Construction Method Based on Hilbert-Huang Transform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] The present invention will be further described in detail below in conjunction with the accompanying drawings.

[0049] like Figure 5 Shown, the present invention comprises the following steps:

[0050] Step 1, input the original image.

[0051] Step 2, preprocessing the original image.

[0052] DPARSF software was used to preprocess fMRI data, mainly for time layer correction, removal of head motion and artifacts, registration to structural images, normalization, smoothing, filtering, and removal of physiological noise.

[0053] Step 3, use GICA to extract brain regions and time series based on the strong functional connections of the whole brain.

[0054] figure 1 The representation diagram of GICA parameter setting, providing detailed parameter setting of GICA analysis;

[0055] Step 4, constructing a dynamic network in the time-frequency domain of fMRI based on HHT.

[0056] Step 5, analyze and study the changing state of the network in the time-frequency dom...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a fMRI time-frequency domain dynamic network construction method based on Hilbert-Huang transform, comprising: inputting original images; preprocessing the original images; extracting brain regions based on strong functional connections of the whole brain and their corresponding time Sequence; time series post-processing; fMRI's HHT time-frequency domain dynamic network construction; analysis and research on the network change model in the time-frequency domain. The invention adopts the Hilbert-Huang transformation algorithm to self-adaptively generate basis functions according to the data itself, so as to avoid inaccurate results produced by selecting inappropriate basis functions in advance.

Description

technical field [0001] The invention belongs to the field of medical image processing, and relates to a dynamic network algorithm in the time-frequency domain of fMRI (functional Magnetic Resonance Image, functional magnetic resonance imaging) in a resting state, mainly using the Hilbert-Huang transform algorithm to construct a dynamic network in the time-frequency domain . Background technique [0002] So far, most fMRI-based functional connectivity studies have assumed that the statistical interdependence patterns of signals between distant brain regions are fixed, such as correlations, covariances, and interactions of time series in different regions. The state is recorded throughout the entire period of the resting state experiment. Under this assumption, studies of brain function at large-scale scales have yielded remarkable results that describe complex spatiotemporal averaging phenomena. [0003] However, human brain connections are most likely to be dynamic, time-d...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T11/00
CPCG06T7/0012G06T11/005G06T11/008G06T2207/10088G06T2207/20048
Inventor 张馨杨春兰吴水才
Owner BEIJING UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com